Efficient Optimization of Many Objectives by Approximation-Guided Evolution Markus Wagnerc,∗, Karl Bringmanna , Tobias Friedrichb , Frank Neumannc a Max-Planck-Institut f¨

Source URL: people.mpi-inf.mpg.de

• Mathematical optimization
• Computational complexity theory
• Theory of computation
• Applied mathematics
• Academia
• Evolutionary algorithms
• Operations research
• Cybernetics
• Multi-objective optimization
• Reduction
• Algorithm
• CMA-ES

Measuring Interestingness of Continuous Game Problems Samuel A. Roberts, Simon M. Lucas Abstract—This paper investigates the relationship between the difficulty and the interestingness of individual problem candidates

Source URL: eldar.mathstat.uoguelph.ca

• Operations research
• Numerical analysis
• Systems science
• Cybernetics
• Evolutionary algorithms
• Applied mathematics
• CMA-ES
• Stochastic optimization
• Lunar Lander
• Mathematical optimization
• Dynamical system

12th International Conference on Parallel Problem Solving From Nature - PPSN XII On spectral invariance of Randomized Hessian and Covariance Matrix Adaptation schemes Sebastian U. Stich

Source URL: sstich.ch

• Evolutionary algorithms
• Mathematical analysis
• Mathematics
• Mathematical optimization
• CMA-ES
• Gaussian adaptation
• Hessian matrix
• Evolution strategy

Empirical investigation of simplied step-size control in metaheuristics with a view to theory ⋆ Jens Jägersküpper & Mike Preuss Technische Universität Dortmund, Fakultät für Informatik, 44221 Dortmund, Germany

Source URL: ls2-www.cs.uni-dortmund.de

• Normal distribution
• CMA-ES

Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science

Source URL: sstich.ch

• Evolutionary algorithms
• Mathematical optimization
• Operations research
• Stochastic optimization
• CMA-ES
• Convex optimization
• Global optimization
• Gradient descent
• Evolution strategy
• Gaussian adaptation
• Derivative-free optimization
• Gradient method

Monte Carlo Tree Search with Macro-Actions and Heuristic Route Planning for the Multiobjective Physical Travelling Salesman Problem Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science

Source URL: eldar.mathstat.uoguelph.ca

• Cybernetics
• Global Positioning System
• Navigation
• Orienteering
• Waypoint
• Evolutionary algorithms
• Control theory
• CMA-ES
• Mathematical optimization
• Controller
• Video game bot
• Monte Carlo tree search

Approximation-Guided Evolutionary Multi-Objective Optimization Karl Bringmann1 , Tobias Friedrich1 , Frank Neumann2 , Markus Wagner2 Max-Planck-Institut f¨ur Informatik, Campus E1.4, 66123 Saarbr¨ucken, Germany 2 Schoo

Source URL: people.mpi-inf.mpg.de

• Mathematical optimization
• Cybernetics
• Computational complexity theory
• Evolution
• Operations research
• Multi-objective optimization
• Algorithm
• Evolutionary algorithm
• Approximation algorithm
• CMA-ES
• Genetic algorithm
• Evolutionary computation

Project number ISTCGL Computational Geometric Learning Random Pursuit in Hilbert Space

Source URL: cgl.uni-jena.de

• Stochastic processes
• Stochastic optimization
• Mathematical optimization
• Operations research
• Random walk
• CMA-ES
• Probability theory

Speeding Up Many-Objective Optimization by Monte Carlo Approximations Karl Bringmanna , Tobias Friedrichb,∗, Christian Igelc , Thomas Voßd a Max-Planck-Institut f¨

Source URL: people.mpi-inf.mpg.de

• Mathematical optimization
• Operations research
• Computational complexity theory
• Evolution
• Multi-objective optimization
• CMA-ES
• Approximation algorithm
• Exact algorithm
• Multiple-criteria decision analysis
• Algorithm
• Evolutionary algorithm
• Pareto efficiency

Tutorial CMA-ES — Evolution Strategies and Covariance Matrix Adaptation Anne Auger & Nikolaus Hansen INRIA Research Centre Saclay – ˆIle-de-France Project team TAO University Paris-Sud, LRI (UMR 8623), Bat. 660

Source URL: www.lri.fr